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Twitter Demographics
Mendeley readers
| Chapter title |
Categorical Data Clustering
|
|---|---|
| Chapter number | 35 |
| Book title |
Encyclopedia of Machine Learning and Data Mining
|
| Published by |
Springer US, January 2017
|
| DOI | 10.1007/978-1-4899-7687-1_35 |
| Book ISBNs |
978-1-4899-7685-7, 978-1-4899-7687-1
|
| Authors |
Periklis Andritsos, Panayiotis Tsaparas |
| Editors |
Claude Sammut, Geoffrey I. Webb |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Student > Master | 4 | 31% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 38% |
| Arts and Humanities | 1 | 8% |
| Environmental Science | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Energy | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 2 | 15% |